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Autonomous forklifts and AGV robots

Autonomous AGV systems for warehouses and manufacturing

Internal logistics automation built around process stability, safety and measurable ROI.

We design and deploy AGV / AMR systems that automate internal transport and make operating flow more predictable.

Real deployments Manufacturing and warehouse focus Europe
Inovatica AGV signet HT-15 AGV by Inovatica AGV
Business value

Why Inovatica AGV

Lower operating cost

Reduction of repetitive internal transport cost and better use of operator time.

Fast first rollout

A staged launch model designed to show a measurable effect early.

Safety by design

Deployments built around ISO 3691-4, real risk assessment and mixed-traffic rules.

Scalable architecture

A system that can grow with the process instead of becoming a one-off installation.

Offer

Our AGV solutions

HT-15

HT-15

Autonomous AGV for stable pallet transport on floor-level routes.

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TU-4

TU-4

Compact tugger AGV for regular line supply and multi-stop transport loops.

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ST-1430

ST-1430

Storage AGV for repeatable pallet put-away and buffer operations.

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CB-2030/2040

CB-2030/2040

Counterbalanced AGV for flexible pallet handling between warehouse and production.

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Contact and ROI

Check where to start the rollout

Right after the use-case overview you can move into a real process conversation. Share the rough flow, zones and site constraints and we will come back with a sensible first rollout recommendation.

Case studies

Trusted by industry leaders

All case studies
AGV Insight live map showing plant layout and forklift positions
Float glass manufacturing Case study

Fleet monitoring and internal transport optimisation at a glass plant

Case study: a LiDAR- and SLAM-based forklift tracking system that turns fleet movement, idle time, congestion and operator activity into measurable data.

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Inovatica AGV autonomous forklift outside a warehouse
Logistics / Gulf region Case study

Inovatica AGV's first delivery to Saudi Arabia

In May 2026, the first Inovatica AGV autonomous forklift was delivered to Saudi Arabia. The delivery with a local partner marks our first machine in the Gulf region and our first step beyond Europe.

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ROI

What can you gain?

AGV automation delivers the strongest effect where the process is repetitive, shift-based and costly to run manually.

first measurable effect built around one critical process

higher flow stability and fewer manual transport decisions

rollout staged around business logic, not only hardware

Rollout

How does an AGV rollout work?

Process analysis
Step 01

Process analysis

We map pallet flow, bottlenecks, work rhythm and safety conditions to identify the first rational automation scope.

Design
Step 02

Design

We choose the vehicle type, route logic, drop-off points and traffic architecture matched to the site.

Integration
Step 03

Integration

We connect AGV with WMS, MES or ERP so transport is driven by real process data, not manual calls.

Go-live
Step 04

Go-live

We stabilize the first working scenarios, KPIs and escalation rules so the rollout is ready to scale.

News

AGV and intralogistics updates

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AGV efficiency and greener intralogistics
Market perspective April 26, 2026

AGV: higher efficiency and a greener future

Why AGV and AMR projects increasingly matter not only for transport efficiency, but also for energy use, flow stability and a more sustainable operating model.

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Save the Date graphic for Robo Challenge 2026 in Wroclaw
Events March 31, 2026

Meet Inovatica AGV at Robo Challenge 2026 in Wroclaw

On April 22-23, 2026, we will be at Robo Challenge in Wroclaw. Let's talk about AGV/AMR deployments, ROI and practical internal transport automation.

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Knowledge base

AGV knowledge base

ROI and business case

AGV ROI: how to calculate return on investment in autonomous vehicles

The most important assumptions for AGV ROI calculation: investment cost, labor savings, safety and process throughput.

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Perception and safety

Pallet recognition system for autonomous forklifts

An example of how a vision-based system can improve pallet pick-up and drop-off performance in environments where pallet position is not always ideal.

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